Product Hunt Launch: April 15, 2026

Product Hunt Hunter Kit

Everything you need to hunt Pretense. Grab a tagline, post the first comment, share the screenshots.

What is Pretense

Pretense is an AI firewall that mutates proprietary code identifiers before sending them to LLM APIs like Claude and GPT-4. Instead of redacting code (which breaks AI context), Pretense replaces your function names with synthetic equivalents, then reverses the mutations in the AI response. Local-first, 5-minute setup, open source core.

Tagline Options

Pick one when submitting on Product Hunt. Notes explain the best use case for each.

#1

The AI firewall that mutates your code, not redacts it

Best for technical audiences who know redaction breaks context.

#2

Stop your proprietary code from leaking to OpenAI

High-intent search traffic. Resonates with CTOs and security leads.

#3

Claude/Copilot/Cursor without leaking your IP

Broadest appeal. Names the exact tools developers already use daily.

#4

The only AI coding tool with a cryptographic privacy guarantee

Strongest claim. Use this if Pretense has a verifiable proof.

#5

Your code stays yours. Your AI still works.

Shortest and most memorable. Good for Twitter cards.

Gallery Images Needed

Product Hunt supports up to 5 gallery images. Capture these before launch day.

Screenshot 1Homepage hero

Full-viewport hero with the tagline, mutation animation, and npm install CTA. Captures the brand position at a glance.

https://pretense.ai

Screenshot 2Live mutation demo

Interactive demo showing a real code snippet mutating in real time. getUserToken becomes _fn4a2b. The AI response is reversed back.

https://pretense.ai/demo

Screenshot 3Admin dashboard

Team-level dashboard: mutation rate, tokens protected, active integrations, and compliance status badges.

https://pretense.ai/admin

Screenshot 4Audit log

Timestamped log of every mutation event. Shows what was mutated, which LLM received the request, and whether the reversal succeeded.

https://pretense.ai/admin

Screenshot 5Code before and after mutation

Side-by-side diff view. Left panel: original source with proprietary identifiers. Right panel: mutated version sent to the LLM.

https://pretense.ai/demo

First Comment Template

Post this as the founder comment immediately after launch. The first comment on a PH post drives the most upvotes and is indexed by Google.

We built Pretense after seeing our team's proprietary ML model training code appear in a competitor's product demo, three weeks after a junior dev used it in a ChatGPT prompt.

The existing solutions (Nightfall, etc.) either cost $5K+/month, take 2 weeks to deploy, or redact code so aggressively that the AI becomes useless.

Pretense uses deterministic mutation instead of redaction:
- getUserToken -> _fn4a2b (AI still understands it)
- STRIPE_SECRET_KEY -> [BLOCKED] (never leaves your machine)

The mutation map lives on your machine. Anthropic/OpenAI never see your real identifiers. Ever.

We'd love feedback on: (1) the mutation algorithm quality, (2) which integrations matter most to your team, and (3) whether you'd pay for the enterprise tier or need an on-prem deployment.

Try it free: npm install -g @pretense/cli
copy and paste

Links

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Launch day: April 15, 2026

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